As generative AI usage explodes, data center infrastructure is reaching a breaking point. Each prompt adds power load, compute strain and bandwidth demand. Multiply that across billions of queries, and even small inefficiencies become major cost drivers.
Data center maintenance is emerging as the most controllable variable in the AI cost equation. HVAC, GPUs, storage and power systems directly shape token economics.
That’s why third-party maintenance providers are stepping in to help hyperscalers reduce failures, optimize performance and rein in spend.
This white paper outlines how AI hyperscalers can rethink maintenance to cut cost and protect uptime.
What’s Inside:
- How maintenance directly impacts AI profitability as inference costs rise
- Insights into five core data center systems where upkeep is essential
- How third-party providers use automation and AI tools to cut downtime and cost
This paper is essential reading for program managers and procurement leads dealing with AI data center maintenance and cost challenges.